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Tools for identifying superficial additions of complexity used to inflate technical contributions.
Distinct from Padding-Aware Loss Functions: Candidate [f11_mt3] refers to tensor padding in ML, not conceptual padding in research papers.
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WritingAIPaper is a suite of tools designed for automating the structuring, drafting, and auditing of academic research manuscripts. It functions as an AI writing assistant that guides the creation of papers from a core idea to a finished document, utilizing a research manuscript structuring tool to organize content around specific technical contributions. The project includes a deceptive research practice detector that identifies common reporting manipulations, such as hyperparameter cherry-picking, selective metric reporting, and incremental padding. It also provides a submission readiness
Identifies papers that add learnable parameters or complex losses without genuine novelty to inflate contributions.